{"ID":2889728,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.21000","arxiv_id":"2507.21000","title":"Towards Effective Human Performance in XR Space Framework based on Real-time Eye Tracking Biofeedback","abstract":"This paper proposes an eye tracking module for the XR Space Framework aimed at enhancing human performance in XR-based applications, specifically in training, screening, and teleoperation. This framework provides a methodology and components that streamline the development of adaptive real-time virtual immersive systems. It contains multimodal measurements - declarative in the form of in-VR questionnaires and objective, including eye tracking, body movement, and psychophysiological data (e.g., ECG, GSR, PPG). A key focus of this paper is the integration of real-time eye tracking data into XR environments to facilitate a biofeedback loop, providing insight into user attention, cognitive load, and engagement. Given the relatively high measurement frequency of eye tracking - recognized as a noninvasive yet robust psychophysiological measure - this technology is particularly well suited for real-time adjustments in task difficulty and feedback to enhance learning and operational effectiveness. Despite its established role in cognitive and attentional studies, implementing eye tracking metrics within dynamic, real-time XR environments poses unique challenges, particularly given the complex moving visuals presented in head-mounted displays (HMDs). This paper addresses these challenges by focusing on the essential aspects of integrating eye tracking in immersive systems based on real-time engines, ultimately facilitating more efficient, adaptive XR applications.","short_abstract":"This paper proposes an eye tracking module for the XR Space Framework aimed at enhancing human performance in XR-based applications, specifically in training, screening, and teleoperation. This framework provides a methodology and components that streamline the development of adaptive real-time virtual immersive system...","url_abs":"https://arxiv.org/abs/2507.21000","url_pdf":"https://arxiv.org/pdf/2507.21000v1","authors":"[\"Barbara Karpowicz\",\"Tomasz Kowalewski\",\"Pavlo Zinevych\",\"Adam Kuzdraliński\",\"Grzegorz Marcin Wójcik\",\"Wiesław Kopeć\"]","published":"2025-07-28T17:11:29Z","proceeding":"cs.HC","tasks":"[\"cs.HC\"]","methods":"[]","has_code":false}